rafagarcia2/dashboard_ppgecc

Plataforma para análise de dados da Produção Acadêmica do PPgECC

Plataforma para análise de dados da produção acadêmica do PPgECC

Platform for vi and analyzing academic production data developed by Programa de Pós-graduação em Engenharia Elétrica (PPgECC).

Set up the workspace

Clone the project, configure the remotes and install the dependencies:

# Clone the repo into the current directory
git clone https://github.com/rafagarcia2/dashboard_ppgecc

# Navigate to the newly cloned directory
cd dashboard_ppgecc

# Create local settings
cp .env-example .env

# Set up the virtual environment
python -m venv venv

# Activate the virtual environment (Unix)
source venv/bin/activate

# Activate the virtual environment (Windows)
.\venv\Scripts\activate

# Install the dependencies
pip install -U -r requirements.txt
poetry install

# Set up pre-commit hooks
pre-commit install

Running

Debugging

To run the project for debugging, Streamlit can be used by adding settings in .vscode/launch.json file:

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python: Module",
            "type": "python",
            "request": "launch",
            "module": "streamlit",
            "args": ["run", "${file}"],
            "justMyCode": true
        }
    ]
}

After that, just start the application on your VS Code and it should start a local server.